YAYINLAR

2022

• Learning football player features using graph embeddings for player recommendation system

  Yılmaz, Ö. İ., & Öğüdücü, Ş. G. (2022, April). Learning football player features using graph embeddings for player recommendation system. In Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (pp. 577-584).

• A hierarchical recommendation system for E-commerce using online user reviews

  Islek, I., & Oguducu, S. G. (2022). A hierarchical recommendation system for E-commerce using online user reviews. Electronic Commerce Research and Applications, 52, 101131.

• Demand forecasting model using hotel clustering findings for hospitality industry

  Kaya, K., Yılmaz, Y., Yaslan, Y., Öğüdücü, Ş. G., & Çıngı, F. (2022). Demand forecasting model using hotel clustering findings for hospitality industry. Information Processing & Management, 59(1), 102816.

2021

• biDeepFM: A multi-objective deep factorization machine for reciprocal recommendation

  Yıldırım, E., Azad, P., & Öğüdücü, Ş. G. (2021). biDeepFM: A multi-objective deep factorization machine for reciprocal recommendation. Engineering Science and Technology, an International Journal, 24(6), 1467-1477.

• Enriching demand prediction with product relationship information using graph neural networks

  Yilmaz, Y., & ÖĞüdücü, Ş. G. (2021, November). Enriching demand prediction with product relationship information using graph neural networks. In Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (pp. 561-568).

• An ensemble model for wide-area measurement-based transient stability assessment in power systems

  Saner, C. B., Yaslan, Y., & Genc, I. (2021). An ensemble model for wide-area measurement-based transient stability assessment in power systems. Electrical Engineering, 103(6), 2855-2869.

• Contingency‐based adaptive synthetic data generation to improve transient stability prediction in power systems

  Jafarzadeh, S., Yaslan, Y., & Genc, I. (2021). Contingency‐based adaptive synthetic data generation to improve transient stability prediction in power systems. International Transactions on Electrical Energy Systems, 31(11), e13128.

• Waste-to-Energy Framework: An intelligent energy recycling management

  Kaya, K., Ak, E., Yaslan, Y., & Oktug, S. F. (2021). Waste-to-Energy Framework: An intelligent energy recycling management. Sustainable Computing: Informatics and Systems, 30, 100548.

• A new method of decision tree based transient stability assessment using hybrid simulation for real‐time PMU measurements

  Behdadnia, T., Yaslan, Y., & Genc, I. (2021). A new method of decision tree based transient stability assessment using hybrid simulation for real‐time PMU measurements. IET Generation, Transmission & Distribution, 15(4), 678-693.

• GeoAKOM: A Smart Geocasting Protocol for Vehicular Networks

  Saglam, E. T., Yaslan, Y., & Oktug, S. F. (2021). Geoakom: A smart geocasting protocol for vehicular networks. Procedia Computer Science, 184, 364-371.

2020

• A hybrid recommendation system based on bidirectional encoder representations

  Islek, I., & Oguducu, S. G. (2020, September). A hybrid recommendation system based on bidirectional encoder representations. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (pp. 225-236). Springer, Cham.

• Deep flexible sequential (DFS) model for air pollution forecasting

  Kaya, K., & Gündüz Öğüdücü, Ş. (2020). Deep flexible sequential (DFS) model for air pollution forecasting. Scientific reports, 10(1), 1-12.

• A context-aware mobile application framework using audio watermarking

  Yaslan, Y., & Gunsel, B. (2020). A context-aware mobile application framework using audio watermarking. Multimedia Systems, 26(3), 323-337.

• Emotion recognition from multimodal physiological signals for emotion aware healthcare systems

  Ayata, D., Yaslan, Y., & Kamasak, M. E. (2020). Emotion recognition from multimodal physiological signals for emotion aware healthcare systems. Journal of Medical and Biological Engineering, 40(2), 149-157.

2019

• Popularity prediction of posts in social networks based on user, post and image features

  Gayberi, M., & Oguducu, S. G. (2019, November). Popularity prediction of posts in social networks based on user, post and image features. In Proceedings of the 11th International Conference on Management of Digital EcoSystems (pp. 9-15).

• Multivariate time series link prediction for evolving heterogeneous network

  Ozcan, A., & Oguducu, S. G. (2019). Multivariate time series link prediction for evolving heterogeneous network. International Journal of Information Technology & Decision Making, 18(01), 241-286.

• Influence factorization for identifying authorities in twitter

  Alp, Z. Z., & Öğüdücü, Ş. G. (2019). Influence factorization for identifying authorities in twitter. Knowledge-Based Systems, 163, 944-954.

• DeMETER in clouds: detection of malicious external thread execution in runtime with machine learning in PaaS clouds

  Sandıkkaya, M. T., Yaslan, Y., & Özdemir, C. D. (2020). DeMETER in clouds: detection of malicious external thread execution in runtime with machine learning in PaaS clouds. Cluster Computing, 23(4), 2565-2578.

• Dissimilarity-based multi-instance learning using dictionary learning and sparse coding ensembles

  Moarref, N., & Yaslan, Y. (2019). Dissimilarity-based multi-instance learning using dictionary learning and sparse coding ensembles. Computers & Electrical Engineering, 80, 106482.

• Güç Sistemlerinde Geçici Hal Kararsızlığının Arıza Öncesi Fazör Ölçümleri Kullanarak Karar Ağacı Tabanlı Kestirimi

  SANER, C. B., KESİCİ, M., MAHDI, M., YASLAN, Y., & GENÇ, V. İ. (2019). Güç Sistemlerinde Geçici Hal Kararsızlığının Arıza Öncesi Fazör Ölçümleri Kullanarak Karar Ağacı Tabanlı Kestirimi. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 23(1), 6-14.

2018

• Link prediction in evolving heterogeneous networks using the NARX neural networks

  Ozcan, A., & Oguducu, S. G. (2018). Link prediction in evolving heterogeneous networks using the NARX neural networks. Knowledge and Information Systems, 55(2), 333-360.

• Identifying topical influencers on twitter based on user behavior and network topology

  Alp, Z. Z., & Öğüdücü, Ş. G. (2018). Identifying topical influencers on twitter based on user behavior and network topology. Knowledge-Based Systems, 141, 211-221.

• Comparative assessment of sensing modalities on manipulation failure detection

  Inceoglu, A., Ince, G., Yaslan, Y., & Sariel, S. (2018). Comparative assessment of sensing modalities on manipulation failure detection. In IEEE ICRA workshop on perception, inference and learning for joint semantic, geometric and physical understanding.

• Emotion Based Music Recommendation System Using Wearable Physiological Sensors

  Ayata, D., Yaslan, Y., & Kamasak, M. E. (2018). Emotion based music recommendation system using wearable physiological sensors. IEEE transactions on consumer electronics, 64(2), 196-203.

• Sparse coding based classifier ensembles in supervised and active learning scenarios for data classification

  Tüysüzoğlu, G., & Yaslan, Y. (2018). Sparse coding based classifier ensembles in supervised and active learning scenarios for data classification. Expert Systems with Applications, 91, 364-373.

• DEMIAL: an active learning framework for multiple instance image classificationusing dictionary ensembles

  KOÇYİĞİT, G., & Yaslan, Y. (2018). DEMIAL: an active learning framework for multiple instance image classificationusing dictionary ensembles. Turkish Journal of Electrical Engineering and Computer Sciences, 26(1), 593-604.